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Description of Statistical Computation

Author's title

Author*The author of this computation has been verified*
R Software Modulerwasp_autocorrelation.wasp
Title produced by software(Partial) Autocorrelation Function
Date of computationWed, 21 Dec 2016 21:43:27 +0100
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2016/Dec/21/t1482353033xjuv5rx29pemz0x.htm/, Retrieved Mon, 06 May 2024 19:30:01 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=302498, Retrieved Mon, 06 May 2024 19:30:01 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact52

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [(Partial) Autocorrelation Function] [Partial autocorre...] [2016-12-21 20:43:27] [e7c866b75ad2fc21ab540ba3a0a42299] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
5396.86
4963.38
5445.73
5038.03
5412.13
4965.15
5706.96
5176.7
5426.78
5083.14
5852.19
5144.63
5454.9
4958.98
5538.78
5044.74
5252.57
4945.69
6064.6
5335.02
5830.26
5391.33
6111.81
5472.44
5869.92
5423.01
6173.75
5592.14
5896.64
5505.83
6383.46
5761.51
5960.74
5772.04
6743.55
5878.49
6385.87
5900.06
7065.42
6147.75
6487.65
6119.33
7087.73
6422.35
6573.97
6301.82
7366.24
6444.26
6619.34
6528.77
7530.53

Tables (Output of Computation)





Summary of computational transaction
Raw Input view raw input (R code)
Raw Outputview raw output of R engine
Computing time1 seconds
R ServerBig Analytics Cloud Computing Center

\begin{tabular}{lllllllll}
\hline
Summary of computational transaction \tabularnewline
Raw Input view raw input (R code)  \tabularnewline
Raw Outputview raw output of R engine  \tabularnewline
Computing time1 seconds \tabularnewline
R ServerBig Analytics Cloud Computing Center \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=302498&T=0

[TABLE]
[ROW]
Summary of computational transaction[/C][/ROW] [ROW]Raw Input[/C] view raw input (R code) [/C][/ROW] [ROW]Raw Output[/C]view raw output of R engine [/C][/ROW] [ROW]Computing time[/C]1 seconds[/C][/ROW] [ROW]R Server[/C]Big Analytics Cloud Computing Center[/C][/ROW] [/TABLE] Source: https://freestatistics.org/blog/index.php?pk=302498&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=302498&T=0

As an alternative you can also use a QR Code:  
QR Code


The GUIDs for individual cells are displayed in the table below:

Summary of computational transaction
Raw Input view raw input (R code)
Raw Outputview raw output of R engine
Computing time1 seconds
R ServerBig Analytics Cloud Computing Center






Autocorrelation Function
Time lag kACF(k)T-STATP-value
1-0.449265-2.76950.004318
20.0709640.43750.33213
30.0692450.42690.335948
4-0.151268-0.93250.178489
50.0787410.48540.315093
6-0.084192-0.5190.303387
70.0168030.10360.459024
80.0221360.13650.44609
90.0722710.44550.329241
10-0.141107-0.86980.194924
110.1550530.95580.172605
12-0.282622-1.74220.044782
130.1856041.14410.12986
14-0.12297-0.7580.226552
150.0212190.13080.44831
160.2424851.49480.071616
17-0.218984-1.34990.092516
180.192811.18860.120994
19-0.163748-1.00940.159581
200.1429430.88120.191885
21-0.024178-0.1490.441153
22-0.125063-0.77090.222756
230.0571460.35230.36329
240.0268280.16540.434762
25-0.071323-0.43970.331335
260.0491520.3030.381774
27-0.049243-0.30360.381562
28-0.07937-0.48930.313732
290.16411.01160.159068
30-0.206062-1.27030.105859
310.1086490.66980.253531
320.0309670.19090.424814
33-0.057879-0.35680.361611
34-0.022573-0.13910.445033
350.0703360.43360.333522
36-0.042058-0.25930.398417
370.0144520.08910.464739
38NANANA
39NANANA
40NANANA
41NANANA
42NANANA
43NANANA
44NANANA
45NANANA
46NANANA
47NANANA
48NANANA

\begin{tabular}{lllllllll}
\hline
Autocorrelation Function \tabularnewline
Time lag k & ACF(k) & T-STAT & P-value \tabularnewline
1 & -0.449265 & -2.7695 & 0.004318 \tabularnewline
2 & 0.070964 & 0.4375 & 0.33213 \tabularnewline
3 & 0.069245 & 0.4269 & 0.335948 \tabularnewline
4 & -0.151268 & -0.9325 & 0.178489 \tabularnewline
5 & 0.078741 & 0.4854 & 0.315093 \tabularnewline
6 & -0.084192 & -0.519 & 0.303387 \tabularnewline
7 & 0.016803 & 0.1036 & 0.459024 \tabularnewline
8 & 0.022136 & 0.1365 & 0.44609 \tabularnewline
9 & 0.072271 & 0.4455 & 0.329241 \tabularnewline
10 & -0.141107 & -0.8698 & 0.194924 \tabularnewline
11 & 0.155053 & 0.9558 & 0.172605 \tabularnewline
12 & -0.282622 & -1.7422 & 0.044782 \tabularnewline
13 & 0.185604 & 1.1441 & 0.12986 \tabularnewline
14 & -0.12297 & -0.758 & 0.226552 \tabularnewline
15 & 0.021219 & 0.1308 & 0.44831 \tabularnewline
16 & 0.242485 & 1.4948 & 0.071616 \tabularnewline
17 & -0.218984 & -1.3499 & 0.092516 \tabularnewline
18 & 0.19281 & 1.1886 & 0.120994 \tabularnewline
19 & -0.163748 & -1.0094 & 0.159581 \tabularnewline
20 & 0.142943 & 0.8812 & 0.191885 \tabularnewline
21 & -0.024178 & -0.149 & 0.441153 \tabularnewline
22 & -0.125063 & -0.7709 & 0.222756 \tabularnewline
23 & 0.057146 & 0.3523 & 0.36329 \tabularnewline
24 & 0.026828 & 0.1654 & 0.434762 \tabularnewline
25 & -0.071323 & -0.4397 & 0.331335 \tabularnewline
26 & 0.049152 & 0.303 & 0.381774 \tabularnewline
27 & -0.049243 & -0.3036 & 0.381562 \tabularnewline
28 & -0.07937 & -0.4893 & 0.313732 \tabularnewline
29 & 0.1641 & 1.0116 & 0.159068 \tabularnewline
30 & -0.206062 & -1.2703 & 0.105859 \tabularnewline
31 & 0.108649 & 0.6698 & 0.253531 \tabularnewline
32 & 0.030967 & 0.1909 & 0.424814 \tabularnewline
33 & -0.057879 & -0.3568 & 0.361611 \tabularnewline
34 & -0.022573 & -0.1391 & 0.445033 \tabularnewline
35 & 0.070336 & 0.4336 & 0.333522 \tabularnewline
36 & -0.042058 & -0.2593 & 0.398417 \tabularnewline
37 & 0.014452 & 0.0891 & 0.464739 \tabularnewline
38 & NA & NA & NA \tabularnewline
39 & NA & NA & NA \tabularnewline
40 & NA & NA & NA \tabularnewline
41 & NA & NA & NA \tabularnewline
42 & NA & NA & NA \tabularnewline
43 & NA & NA & NA \tabularnewline
44 & NA & NA & NA \tabularnewline
45 & NA & NA & NA \tabularnewline
46 & NA & NA & NA \tabularnewline
47 & NA & NA & NA \tabularnewline
48 & NA & NA & NA \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=302498&T=1

[TABLE]
[ROW][C]Autocorrelation Function[/C][/ROW]
[ROW][C]Time lag k[/C][C]ACF(k)[/C][C]T-STAT[/C][C]P-value[/C][/ROW]
[ROW][C]1[/C][C]-0.449265[/C][C]-2.7695[/C][C]0.004318[/C][/ROW]
[ROW][C]2[/C][C]0.070964[/C][C]0.4375[/C][C]0.33213[/C][/ROW]
[ROW][C]3[/C][C]0.069245[/C][C]0.4269[/C][C]0.335948[/C][/ROW]
[ROW][C]4[/C][C]-0.151268[/C][C]-0.9325[/C][C]0.178489[/C][/ROW]
[ROW][C]5[/C][C]0.078741[/C][C]0.4854[/C][C]0.315093[/C][/ROW]
[ROW][C]6[/C][C]-0.084192[/C][C]-0.519[/C][C]0.303387[/C][/ROW]
[ROW][C]7[/C][C]0.016803[/C][C]0.1036[/C][C]0.459024[/C][/ROW]
[ROW][C]8[/C][C]0.022136[/C][C]0.1365[/C][C]0.44609[/C][/ROW]
[ROW][C]9[/C][C]0.072271[/C][C]0.4455[/C][C]0.329241[/C][/ROW]
[ROW][C]10[/C][C]-0.141107[/C][C]-0.8698[/C][C]0.194924[/C][/ROW]
[ROW][C]11[/C][C]0.155053[/C][C]0.9558[/C][C]0.172605[/C][/ROW]
[ROW][C]12[/C][C]-0.282622[/C][C]-1.7422[/C][C]0.044782[/C][/ROW]
[ROW][C]13[/C][C]0.185604[/C][C]1.1441[/C][C]0.12986[/C][/ROW]
[ROW][C]14[/C][C]-0.12297[/C][C]-0.758[/C][C]0.226552[/C][/ROW]
[ROW][C]15[/C][C]0.021219[/C][C]0.1308[/C][C]0.44831[/C][/ROW]
[ROW][C]16[/C][C]0.242485[/C][C]1.4948[/C][C]0.071616[/C][/ROW]
[ROW][C]17[/C][C]-0.218984[/C][C]-1.3499[/C][C]0.092516[/C][/ROW]
[ROW][C]18[/C][C]0.19281[/C][C]1.1886[/C][C]0.120994[/C][/ROW]
[ROW][C]19[/C][C]-0.163748[/C][C]-1.0094[/C][C]0.159581[/C][/ROW]
[ROW][C]20[/C][C]0.142943[/C][C]0.8812[/C][C]0.191885[/C][/ROW]
[ROW][C]21[/C][C]-0.024178[/C][C]-0.149[/C][C]0.441153[/C][/ROW]
[ROW][C]22[/C][C]-0.125063[/C][C]-0.7709[/C][C]0.222756[/C][/ROW]
[ROW][C]23[/C][C]0.057146[/C][C]0.3523[/C][C]0.36329[/C][/ROW]
[ROW][C]24[/C][C]0.026828[/C][C]0.1654[/C][C]0.434762[/C][/ROW]
[ROW][C]25[/C][C]-0.071323[/C][C]-0.4397[/C][C]0.331335[/C][/ROW]
[ROW][C]26[/C][C]0.049152[/C][C]0.303[/C][C]0.381774[/C][/ROW]
[ROW][C]27[/C][C]-0.049243[/C][C]-0.3036[/C][C]0.381562[/C][/ROW]
[ROW][C]28[/C][C]-0.07937[/C][C]-0.4893[/C][C]0.313732[/C][/ROW]
[ROW][C]29[/C][C]0.1641[/C][C]1.0116[/C][C]0.159068[/C][/ROW]
[ROW][C]30[/C][C]-0.206062[/C][C]-1.2703[/C][C]0.105859[/C][/ROW]
[ROW][C]31[/C][C]0.108649[/C][C]0.6698[/C][C]0.253531[/C][/ROW]
[ROW][C]32[/C][C]0.030967[/C][C]0.1909[/C][C]0.424814[/C][/ROW]
[ROW][C]33[/C][C]-0.057879[/C][C]-0.3568[/C][C]0.361611[/C][/ROW]
[ROW][C]34[/C][C]-0.022573[/C][C]-0.1391[/C][C]0.445033[/C][/ROW]
[ROW][C]35[/C][C]0.070336[/C][C]0.4336[/C][C]0.333522[/C][/ROW]
[ROW][C]36[/C][C]-0.042058[/C][C]-0.2593[/C][C]0.398417[/C][/ROW]
[ROW][C]37[/C][C]0.014452[/C][C]0.0891[/C][C]0.464739[/C][/ROW]
[ROW][C]38[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]39[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]40[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]41[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]42[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]43[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]44[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]45[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]46[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]47[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]48[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=302498&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=302498&T=1

As an alternative you can also use a QR Code:  
QR Code


The GUIDs for individual cells are displayed in the table below:

Autocorrelation Function
Time lag kACF(k)T-STATP-value
1-0.449265-2.76950.004318
20.0709640.43750.33213
30.0692450.42690.335948
4-0.151268-0.93250.178489
50.0787410.48540.315093
6-0.084192-0.5190.303387
70.0168030.10360.459024
80.0221360.13650.44609
90.0722710.44550.329241
10-0.141107-0.86980.194924
110.1550530.95580.172605
12-0.282622-1.74220.044782
130.1856041.14410.12986
14-0.12297-0.7580.226552
150.0212190.13080.44831
160.2424851.49480.071616
17-0.218984-1.34990.092516
180.192811.18860.120994
19-0.163748-1.00940.159581
200.1429430.88120.191885
21-0.024178-0.1490.441153
22-0.125063-0.77090.222756
230.0571460.35230.36329
240.0268280.16540.434762
25-0.071323-0.43970.331335
260.0491520.3030.381774
27-0.049243-0.30360.381562
28-0.07937-0.48930.313732
290.16411.01160.159068
30-0.206062-1.27030.105859
310.1086490.66980.253531
320.0309670.19090.424814
33-0.057879-0.35680.361611
34-0.022573-0.13910.445033
350.0703360.43360.333522
36-0.042058-0.25930.398417
370.0144520.08910.464739
38NANANA
39NANANA
40NANANA
41NANANA
42NANANA
43NANANA
44NANANA
45NANANA
46NANANA
47NANANA
48NANANA






Partial Autocorrelation Function
Time lag kPACF(k)T-STATP-value
1-0.449265-2.76950.004318
2-0.163971-1.01080.159257
30.0420850.25940.398352
4-0.111635-0.68820.247764
5-0.047974-0.29570.384522
6-0.101824-0.62770.266983
7-0.060111-0.37060.356514
8-0.019173-0.11820.45327
90.1131750.69770.244818
10-0.097173-0.5990.276359
110.0584560.36030.360292
12-0.271906-1.67610.050961
13-0.018916-0.11660.453893
14-0.143185-0.88270.191487
15-0.016981-0.10470.45859
160.206871.27520.104984
170.0181360.11180.455785
180.0838120.51660.304197
19-0.097229-0.59940.276245
200.133070.82030.20858
210.143580.88510.190839
22-0.098419-0.60670.27383
23-0.051748-0.3190.375739
24-0.077649-0.47870.317462
25-0.065765-0.40540.343728
26-0.000226-0.00140.499449
27-0.074255-0.45770.324873
28-0.019306-0.1190.452947
29-0.005262-0.03240.487147
30-0.032554-0.20070.421011
31-0.089932-0.55440.291284
320.0374370.23080.409363
330.0287820.17740.430058
34-0.21639-1.33390.095085
350.0256490.15810.437602
36-0.144077-0.88820.190023
37-0.021321-0.13140.448064
38NANANA
39NANANA
40NANANA
41NANANA
42NANANA
43NANANA
44NANANA
45NANANA
46NANANA
47NANANA
48NANANA

\begin{tabular}{lllllllll}
\hline
Partial Autocorrelation Function \tabularnewline
Time lag k & PACF(k) & T-STAT & P-value \tabularnewline
1 & -0.449265 & -2.7695 & 0.004318 \tabularnewline
2 & -0.163971 & -1.0108 & 0.159257 \tabularnewline
3 & 0.042085 & 0.2594 & 0.398352 \tabularnewline
4 & -0.111635 & -0.6882 & 0.247764 \tabularnewline
5 & -0.047974 & -0.2957 & 0.384522 \tabularnewline
6 & -0.101824 & -0.6277 & 0.266983 \tabularnewline
7 & -0.060111 & -0.3706 & 0.356514 \tabularnewline
8 & -0.019173 & -0.1182 & 0.45327 \tabularnewline
9 & 0.113175 & 0.6977 & 0.244818 \tabularnewline
10 & -0.097173 & -0.599 & 0.276359 \tabularnewline
11 & 0.058456 & 0.3603 & 0.360292 \tabularnewline
12 & -0.271906 & -1.6761 & 0.050961 \tabularnewline
13 & -0.018916 & -0.1166 & 0.453893 \tabularnewline
14 & -0.143185 & -0.8827 & 0.191487 \tabularnewline
15 & -0.016981 & -0.1047 & 0.45859 \tabularnewline
16 & 0.20687 & 1.2752 & 0.104984 \tabularnewline
17 & 0.018136 & 0.1118 & 0.455785 \tabularnewline
18 & 0.083812 & 0.5166 & 0.304197 \tabularnewline
19 & -0.097229 & -0.5994 & 0.276245 \tabularnewline
20 & 0.13307 & 0.8203 & 0.20858 \tabularnewline
21 & 0.14358 & 0.8851 & 0.190839 \tabularnewline
22 & -0.098419 & -0.6067 & 0.27383 \tabularnewline
23 & -0.051748 & -0.319 & 0.375739 \tabularnewline
24 & -0.077649 & -0.4787 & 0.317462 \tabularnewline
25 & -0.065765 & -0.4054 & 0.343728 \tabularnewline
26 & -0.000226 & -0.0014 & 0.499449 \tabularnewline
27 & -0.074255 & -0.4577 & 0.324873 \tabularnewline
28 & -0.019306 & -0.119 & 0.452947 \tabularnewline
29 & -0.005262 & -0.0324 & 0.487147 \tabularnewline
30 & -0.032554 & -0.2007 & 0.421011 \tabularnewline
31 & -0.089932 & -0.5544 & 0.291284 \tabularnewline
32 & 0.037437 & 0.2308 & 0.409363 \tabularnewline
33 & 0.028782 & 0.1774 & 0.430058 \tabularnewline
34 & -0.21639 & -1.3339 & 0.095085 \tabularnewline
35 & 0.025649 & 0.1581 & 0.437602 \tabularnewline
36 & -0.144077 & -0.8882 & 0.190023 \tabularnewline
37 & -0.021321 & -0.1314 & 0.448064 \tabularnewline
38 & NA & NA & NA \tabularnewline
39 & NA & NA & NA \tabularnewline
40 & NA & NA & NA \tabularnewline
41 & NA & NA & NA \tabularnewline
42 & NA & NA & NA \tabularnewline
43 & NA & NA & NA \tabularnewline
44 & NA & NA & NA \tabularnewline
45 & NA & NA & NA \tabularnewline
46 & NA & NA & NA \tabularnewline
47 & NA & NA & NA \tabularnewline
48 & NA & NA & NA \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=302498&T=2

[TABLE]
[ROW][C]Partial Autocorrelation Function[/C][/ROW]
[ROW][C]Time lag k[/C][C]PACF(k)[/C][C]T-STAT[/C][C]P-value[/C][/ROW]
[ROW][C]1[/C][C]-0.449265[/C][C]-2.7695[/C][C]0.004318[/C][/ROW]
[ROW][C]2[/C][C]-0.163971[/C][C]-1.0108[/C][C]0.159257[/C][/ROW]
[ROW][C]3[/C][C]0.042085[/C][C]0.2594[/C][C]0.398352[/C][/ROW]
[ROW][C]4[/C][C]-0.111635[/C][C]-0.6882[/C][C]0.247764[/C][/ROW]
[ROW][C]5[/C][C]-0.047974[/C][C]-0.2957[/C][C]0.384522[/C][/ROW]
[ROW][C]6[/C][C]-0.101824[/C][C]-0.6277[/C][C]0.266983[/C][/ROW]
[ROW][C]7[/C][C]-0.060111[/C][C]-0.3706[/C][C]0.356514[/C][/ROW]
[ROW][C]8[/C][C]-0.019173[/C][C]-0.1182[/C][C]0.45327[/C][/ROW]
[ROW][C]9[/C][C]0.113175[/C][C]0.6977[/C][C]0.244818[/C][/ROW]
[ROW][C]10[/C][C]-0.097173[/C][C]-0.599[/C][C]0.276359[/C][/ROW]
[ROW][C]11[/C][C]0.058456[/C][C]0.3603[/C][C]0.360292[/C][/ROW]
[ROW][C]12[/C][C]-0.271906[/C][C]-1.6761[/C][C]0.050961[/C][/ROW]
[ROW][C]13[/C][C]-0.018916[/C][C]-0.1166[/C][C]0.453893[/C][/ROW]
[ROW][C]14[/C][C]-0.143185[/C][C]-0.8827[/C][C]0.191487[/C][/ROW]
[ROW][C]15[/C][C]-0.016981[/C][C]-0.1047[/C][C]0.45859[/C][/ROW]
[ROW][C]16[/C][C]0.20687[/C][C]1.2752[/C][C]0.104984[/C][/ROW]
[ROW][C]17[/C][C]0.018136[/C][C]0.1118[/C][C]0.455785[/C][/ROW]
[ROW][C]18[/C][C]0.083812[/C][C]0.5166[/C][C]0.304197[/C][/ROW]
[ROW][C]19[/C][C]-0.097229[/C][C]-0.5994[/C][C]0.276245[/C][/ROW]
[ROW][C]20[/C][C]0.13307[/C][C]0.8203[/C][C]0.20858[/C][/ROW]
[ROW][C]21[/C][C]0.14358[/C][C]0.8851[/C][C]0.190839[/C][/ROW]
[ROW][C]22[/C][C]-0.098419[/C][C]-0.6067[/C][C]0.27383[/C][/ROW]
[ROW][C]23[/C][C]-0.051748[/C][C]-0.319[/C][C]0.375739[/C][/ROW]
[ROW][C]24[/C][C]-0.077649[/C][C]-0.4787[/C][C]0.317462[/C][/ROW]
[ROW][C]25[/C][C]-0.065765[/C][C]-0.4054[/C][C]0.343728[/C][/ROW]
[ROW][C]26[/C][C]-0.000226[/C][C]-0.0014[/C][C]0.499449[/C][/ROW]
[ROW][C]27[/C][C]-0.074255[/C][C]-0.4577[/C][C]0.324873[/C][/ROW]
[ROW][C]28[/C][C]-0.019306[/C][C]-0.119[/C][C]0.452947[/C][/ROW]
[ROW][C]29[/C][C]-0.005262[/C][C]-0.0324[/C][C]0.487147[/C][/ROW]
[ROW][C]30[/C][C]-0.032554[/C][C]-0.2007[/C][C]0.421011[/C][/ROW]
[ROW][C]31[/C][C]-0.089932[/C][C]-0.5544[/C][C]0.291284[/C][/ROW]
[ROW][C]32[/C][C]0.037437[/C][C]0.2308[/C][C]0.409363[/C][/ROW]
[ROW][C]33[/C][C]0.028782[/C][C]0.1774[/C][C]0.430058[/C][/ROW]
[ROW][C]34[/C][C]-0.21639[/C][C]-1.3339[/C][C]0.095085[/C][/ROW]
[ROW][C]35[/C][C]0.025649[/C][C]0.1581[/C][C]0.437602[/C][/ROW]
[ROW][C]36[/C][C]-0.144077[/C][C]-0.8882[/C][C]0.190023[/C][/ROW]
[ROW][C]37[/C][C]-0.021321[/C][C]-0.1314[/C][C]0.448064[/C][/ROW]
[ROW][C]38[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]39[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]40[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]41[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]42[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]43[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]44[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]45[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]46[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]47[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]48[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=302498&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=302498&T=2

As an alternative you can also use a QR Code:  
QR Code


The GUIDs for individual cells are displayed in the table below:

Partial Autocorrelation Function
Time lag kPACF(k)T-STATP-value
1-0.449265-2.76950.004318
2-0.163971-1.01080.159257
30.0420850.25940.398352
4-0.111635-0.68820.247764
5-0.047974-0.29570.384522
6-0.101824-0.62770.266983
7-0.060111-0.37060.356514
8-0.019173-0.11820.45327
90.1131750.69770.244818
10-0.097173-0.5990.276359
110.0584560.36030.360292
12-0.271906-1.67610.050961
13-0.018916-0.11660.453893
14-0.143185-0.88270.191487
15-0.016981-0.10470.45859
160.206871.27520.104984
170.0181360.11180.455785
180.0838120.51660.304197
19-0.097229-0.59940.276245
200.133070.82030.20858
210.143580.88510.190839
22-0.098419-0.60670.27383
23-0.051748-0.3190.375739
24-0.077649-0.47870.317462
25-0.065765-0.40540.343728
26-0.000226-0.00140.499449
27-0.074255-0.45770.324873
28-0.019306-0.1190.452947
29-0.005262-0.03240.487147
30-0.032554-0.20070.421011
31-0.089932-0.55440.291284
320.0374370.23080.409363
330.0287820.17740.430058
34-0.21639-1.33390.095085
350.0256490.15810.437602
36-0.144077-0.88820.190023
37-0.021321-0.13140.448064
38NANANA
39NANANA
40NANANA
41NANANA
42NANANA
43NANANA
44NANANA
45NANANA
46NANANA
47NANANA
48NANANA


Figures (Output of Computation)

Input Parameters & R Code

Parameters (Session):
par1 = TRUE ;
Parameters (R input):
par1 = 48 ; par2 = 0.0 ; par3 = 1 ; par4 = 1 ; par5 = 12 ; par6 = White Noise ; par7 = 0.95 ; par8 = ;
R code (references can be found in the software module):
if (par1 == 'Default') {
par1 = 10*log10(length(x))
} else {
par1 <- as.numeric(par1)
}
par2 <- as.numeric(par2)
par3 <- as.numeric(par3)
par4 <- as.numeric(par4)
par5 <- as.numeric(par5)
if (par6 == 'White Noise') par6 <- 'white' else par6 <- 'ma'
par7 <- as.numeric(par7)
if (par8 != '') par8 <- as.numeric(par8)
x <- na.omit(x)
ox <- x
if (par8 == '') {
if (par2 == 0) {
x <- log(x)
} else {
x <- (x ^ par2 - 1) / par2
}
} else {
x <- log(x,base=par8)
}
if (par3 > 0) x <- diff(x,lag=1,difference=par3)
if (par4 > 0) x <- diff(x,lag=par5,difference=par4)
bitmap(file='picts.png')
op <- par(mfrow=c(2,1))
plot(ox,type='l',main='Original Time Series',xlab='time',ylab='value')
if (par8=='') {
mytitle <- paste('Working Time Series (lambda=',par2,', d=',par3,', D=',par4,')',sep='')
mysub <- paste('(lambda=',par2,', d=',par3,', D=',par4,', CI=', par7, ', CI type=',par6,')',sep='')
} else {
mytitle <- paste('Working Time Series (base=',par8,', d=',par3,', D=',par4,')',sep='')
mysub <- paste('(base=',par8,', d=',par3,', D=',par4,', CI=', par7, ', CI type=',par6,')',sep='')
}
plot(x,type='l', main=mytitle,xlab='time',ylab='value')
par(op)
dev.off()
bitmap(file='pic1.png')
racf <- acf(x, par1, main='Autocorrelation', xlab='time lag', ylab='ACF', ci.type=par6, ci=par7, sub=mysub)
dev.off()
bitmap(file='pic2.png')
rpacf <- pacf(x,par1,main='Partial Autocorrelation',xlab='lags',ylab='PACF',sub=mysub)
dev.off()
(myacf <- c(racf$acf))
(mypacf <- c(rpacf$acf))
lengthx <- length(x)
sqrtn <- sqrt(lengthx)
load(file='createtable')
a<-table.start()
a<-table.row.start(a)
a<-table.element(a,'Autocorrelation Function',4,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'Time lag k',header=TRUE)
a<-table.element(a,'ACF(k)',header=TRUE)
a<-table.element(a,'T-STAT',header=TRUE)
a<-table.element(a,'P-value',header=TRUE)
a<-table.row.end(a)
for (i in 2:(par1+1)) {
a<-table.row.start(a)
a<-table.element(a,i-1,header=TRUE)
a<-table.element(a,round(myacf[i],6))
mytstat <- myacf[i]*sqrtn
a<-table.element(a,round(mytstat,4))
a<-table.element(a,round(1-pt(abs(mytstat),lengthx),6))
a<-table.row.end(a)
}
a<-table.end(a)
table.save(a,file='mytable.tab')
a<-table.start()
a<-table.row.start(a)
a<-table.element(a,'Partial Autocorrelation Function',4,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'Time lag k',header=TRUE)
a<-table.element(a,'PACF(k)',header=TRUE)
a<-table.element(a,'T-STAT',header=TRUE)
a<-table.element(a,'P-value',header=TRUE)
a<-table.row.end(a)
for (i in 1:par1) {
a<-table.row.start(a)
a<-table.element(a,i,header=TRUE)
a<-table.element(a,round(mypacf[i],6))
mytstat <- mypacf[i]*sqrtn
a<-table.element(a,round(mytstat,4))
a<-table.element(a,round(1-pt(abs(mytstat),lengthx),6))
a<-table.row.end(a)
}
a<-table.end(a)
table.save(a,file='mytable1.tab')